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Journal : JURIKOM (Jurnal Riset Komputer)

Sistem Pendukung Keputusan Dalam Menentukan Pemain Basket Terbaik Menggunakan Algoritma Analytical Hierarchy Process (AHP) (Study Kasus Klub Angsapura Sania Medan) Nadeak, Berto; Arbaatun, Setyawati; Fadlina, Fadlina
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : P3M STMIK Budi Darma

Show Abstract | Original Source | Check in Google Scholar | Full PDF (22.84 KB)

Abstract

Basketball is a ball game in groups. Consisting of two teams consisting of five people who competed each other scored points by inserting an opponents ball. The movement consists of a combination of elements that are coordinated neatly so as to play the ball well. In basketball training at KlubAngsapura Sania Medan, there are several things that are done to determine the player that is dribbling, shooting, passing, agility. The activity is done regularly and recorded manually on a notebook, either by coach or assistant coach. Problems arise when many players have to be selected, making it difficult for the coach to determine the players election. Because it requires a decision support application so that the coach can evaluate the teams performance and make decisions so that the bias applies the appropriate strategy. This application is capable of giving statistic of player development. The method used is Analytical Hierarchy Process (AHP) method, where Analytical Hierarchy Process (AHP) method compares the best aspect with existing player aspect.
PERANCANGAN APLIKASI PEMBELAJARAN INTERNET DENGAN MENGGUNAKAN METODE COMPUTER BASED INSTRUCTION Nadeak, Berto; Parulian, Abbas; Pristiwanto, Pristiwanto; Siregar, Saidi Ramadan
JURIKOM (Jurnal Riset Komputer) Vol 3, No 4 (2016): Agustus 2016
Publisher : P3M STMIK Budi Darma

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Abstract

Kegiatan proses belajar mengajar dan penyajian materi pembelajaran internet saat ini masih didominasi oleh pengajar sehingga mengakibatkan peserta didik mudah jenuh, kurang kreatif, kurang inisiatif dan terlalu bergantung pada si pengajar. Sebagai contoh pengajar memberikan materi dan peserta didik hanya menulis dan medengarkan sehingga membuat siswa menjadi pasif dan bosan karena siswa pasif maka pengetahuan yang diperoleh mudah dilupakan. Oleh karena itu dibutuhkan aplikasi pembelajaran yang menarik dan interaktif untuk menunjang minat peserta didik dalam belajar menggunakan metode computer based instruction. Metode computer based instruction sangat cocok diterapkan pada proses belajar mengajar khususnya dalam materi pembelajaran internet, agar peserta didik lebih cepat dan mudah memahami materi pembelajarn internet yang disajikan karena dapat menampilkan bentuk nyata dari materi yang disampaikan dengan menggunakan gambar, slide-slide dan video.
Penerapan Algoritma K-Means Untuk Penentuan Lahan Kritis Manalu, Sartika; Nadeak, Berto; Siagian, Edward R
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : P3M STMIK Budi Darma

Show Abstract | Original Source | Check in Google Scholar | Full PDF (22.84 KB)

Abstract

The critical land is marked by the destruction of soil structure, decreasing the quality and quantity of organic matter, nutrient deficiency and disruption of the hydrological cycle, need to be rehabilitated and increased productivity so that the land can return to function as a good ecosystem or produce something that is economic to humans. Critical land causes: Forest encroachment, illegal logging, forest fires, utilization of non-sustainable forest resources, zoning of the area not yet in place, land management pattern is not conservative, diversion of land status (various interests). Data mining technology is one way to get information hidden from the data set to become knowledge that can support an organization in making decisions. After the number of clusters is known, a new cluster process is performed without following the hierarchy process. The formulation of the problem solved in this research is how to determine the rehabilitated priority based on land criticality level using K-means Alogitma. The K-Means algorithm is simple to implement and run, relatively fast, adaptable and common in practice.
Sistem Pakar Untuk Mendiagnosa Kerusakan Mesin Wet And Dry Vacum Cleaner Menggunakan Metode Certainty Factor (Studi Kasus: PT. ISS Indonesia) Zega, Zulfan Anugerah; Nadeak, Berto; Zebua, Taronisokhi
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : P3M STMIK Budi Darma

Show Abstract | Original Source | Check in Google Scholar | Full PDF (22.84 KB)

Abstract

Wet and Dry Vacuum Cleaner machines are often damaged, thus slowing down the work of cleaning service operators in completing a job. The slow technician in finding the solution of damage to Wet and Dry Vacum Cleaner machine and schedule of technicians who have been determined in two times a month to check on the condition of Wet and Dry Vacum Cleaner machine in the areas become one of the causes of inhibition of the work of cleaning service operators causing the loss on the side of time efficiency and cost incurred by the company. One solution that can be given to solve the problems being faced by PT. ISS Indonesia is utilizing an expert system-based applications. Expert system application that serves as a solution of the above problems work based on Certainty Factor method built with Microsoft Visual Studio 2008 programming language integrated with MySQL database to store data that become symptom and rules needed when doing the diagnosis by the system. This research will produce the output that is if user or user of a system does the diagnosis by choosing answer given by system through consultation form hence will yield output result of diagnosis of damage in the form of confidence level and solution of damaged machine Wet and Dry Vacum Cleaner.